Evaluation of Functional Decline in Alzheimer’s Dementia Using 3D Deep Learning and Group ICA for rs-fMRI Measurements

Evaluation of Functional Decline in Alzheimer’s Dementia Using 3D Deep Learning and Group ICA for rs-fMRI Measurements

Purpose: To perform automatic assessment of dementia severity using a deep learning framework applied to resting-state functional magnetic resonance imaging (rs-fMRI) data.Method: We divided 133 Alzheimer’s disease (AD) patients with clinical dementia rating (CDR) scores from 0.5 to 3 into two group...

Full description

Bibliographic Details
Main Authors: Muhammad Naveed Iqbal Qureshi, Seungjun Ryu, Joonyoung Song, Kun Ho Lee, Boreom Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Aging Neuroscience
Subjects:
dementia
progression assessment
imaging biomarkers
independent component analysis
neuroimaging
convolutional neural network
Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2019.00008/full

Internet

https://www.frontiersin.org/article/10.3389/fnagi.2019.00008/full

Similar Items